tensorflow_gan/python/features/normalization.py [116:128]:
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    beta, gamma = None, None
    dtype = inputs.dtype.base_dtype
    if param_initializers is None:
      param_initializers = {}
    if center:
      beta_initializer = param_initializers.get(
          'beta', tf.compat.v1.initializers.zeros())
      beta = tf.compat.v1.get_variable(
          name='beta',
          shape=params_shape,
          dtype=dtype,
          initializer=beta_initializer,
          trainable=trainable)
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tensorflow_gan/python/features/normalization.py [316:328]:
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    beta, gamma = None, None
    dtype = inputs.dtype.base_dtype
    if param_initializers is None:
      param_initializers = {}
    if center:
      beta_initializer = param_initializers.get(
          'beta', tf.compat.v1.initializers.zeros())
      beta = tf.compat.v1.get_variable(
          name='beta',
          shape=params_shape,
          dtype=dtype,
          initializer=beta_initializer,
          trainable=trainable)
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